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Applore Technologies
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Fullstack Developer

Fullstack Developer

Applore Technologies

0 years

0 Lacs

delhi delhi india

Posted:3 weeks ago| Platform:

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Skills Required

developer stack ai ml integration design mongodb react node.js model python javascript flask fastapi tensorflow.js graphql indexes authentication authorization jwt oauth react.js data communication aws gcp azure docker code api express.js rest database aggregation indexing django server deployment tensorflow devops kubernetes debugging openai sagemaker vertex recognition

Work Mode

On-site

Job Type

Full Time

Job Description

We are looking for a skilled MERN Stack Developer with AI/ML integration experience to design, build, and deploy intelligent full-stack applications. The ideal candidate should be strong in the MERN stack (MongoDB, Express, React, Node.js ) and have hands-on exposure to AI/ML model integration using Python APIs or JavaScript ML frameworks.

Responsibilities

Design, develop, and maintain scalable web applications using the MERN stack.
Integrate AI/ML models into applications via APIs (Flask/FastAPI, TensorFlow.js, PyTorch.js, etc. ).
Build RESTful and GraphQL APIs with Node.js & Express.
Manage and optimize MongoDB queries, schemas, and indexes. Implement authentication/authorization (JWT, OAuth, RBAC).
Optimize performance at both frontend (React.js ) and backend (Node.js ).
Collaborate with data science teams to consume ML/AI services and deploy models.
Handle asynchronous tasks and real-time communication (Socket. IO, message queues).
Deploy applications and AI services on AWS / GCP / Azure / Docker / Kubernetes.
Write clean, reusable, and testable code with proper documentation.

Requirements

Frontend: React.js, Redux/Context API, Hooks, Tailwind/Material UI.
Backend: Node.js, Express.js, REST APIs, WebSockets.
Database: MongoDB (aggregation, indexing, performance tuning).
AI/ML Integration: o Experience consuming ML APIs (Flask/FastAPI/Django REST).
Exposure to TensorFlow.js / PyTorch.js for browser/server-side inference.
Understanding of model deployment (TensorFlow Serving, Dockerized ML APIs).
DevOps/Deployment: Docker, Kubernetes, CI/CD pipelines, Git.
Other: Strong problem-solving skills, debugging, and performance optimization.
Experience with vector databases (Pinecone, Weaviate, MongoDB Atlas Vector Search).
Knowledge of LangChain, RAG pipelines, or LLM integration (OpenAI, Hugging Face, etc. ).
Cloud-based AI deployment (AWS SageMaker, GCP Vertex AI, Azure AI).
Prior experience in chatbots, image recognition, or NLP applications.
B. Tech / B. E in Computer Science, IT, ECE, or related field.
(Optional) PG in AI/ML/Data Science is a plus.

This job was posted by Kanika B from Applore Technologies.

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